Evaluating Unsupervised Clustering for Selecting Solar Micro-Grid Sites Using High-Resolution Satellite Data in Zimbabwe

1. Introduction 2. Background and Motivation 2.1 Energy Access in Zimbabwe 2.2 Relevance of Solar Micro-Grids 2.3 Overview of Clustering Techniques 3. Research Objectives 3.1 Main Research Questions 3.2 Specific Aims and Goals 3.3 Hypotheses Formulation 4. Literature Review 4.1 Unsupervised Clustering Methods 4.2 Satellite Data Utilization 4.3 Previous Studies in Similar Contexts 5. Methodology 5.1 Data Collection and Sources 5.2 Selection of Clustering Algorithms 5.3 Evaluation Metrics for Clustering 6. Data Analysis 6.1 Preprocessing Satellite Data 6.2 Implementation of Clustering Models 6.3 Validation of Clustering Results 7. Case Study: Zimbabwe 7.1 Geographic and Demographic Insights 7.2 Application of Proposed Methods 7.3 Results and Observations 8. Discussion and Implications 8.1 Interpretation of Findings 8.2 Practical Implications for Policy 8.3 Limitations and Future Research